
Experimental Tips
● Augmentation is a must to prevent overfitting. A good augmentation can
carry on to the testing phase with Test Time Augmentation.
● If you build your own network structure and have implemented
augmentation, don’t be afraid to scale up your model. (Many predefined
models structure are huge and perform great)
● In TA’s experiment, model structures with downsampling work better,
simply choosing the best performing models on ImageNet according to
websites is not always a good idea because pretrained weights are not
allowed.